datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
scientific-systems-sft-dpo-distilled
Scientific and Systems Distillation Golden Dataset (SFT & DPO)
Bu veri seti, temel ve uygulamalı bilimler ile yüksek başarımlı hesaplama (HPC) ve Linux sistem mühendisliği alanlarında yapay zeka modellerini ince ayar (fine-tuning) ve tercih hizalama (preference alignment) süreçlerine tabi tutmak amacıyla tasarlanmış, 2.551 adet ileri düzey teknik prompt ve bunlara karşılık gelen yüksek kaliteli model çıktılarından derlenmiş zengin bir sentetik veri kümesidir.
🚀 Veri… See the full description on the dataset page: https://huggingface.co/datasets/onkanat/scientific-systems-sft-dpo-distilled.pickup-carrot-remove-parquet-metadata-2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"trossen_subversion": "v1.0",
"robot_type": "trossen_ai_stationary",
"total_episodes": 21,
"total_frames": 9383,
"total_tasks": 1,
"total_videos": 84,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:21"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/argus-systems/pickup-carrot-remove-parquet-metadata-2.engineering-llm-systems
Engineering LLM-Integrated Systems
Engineering LLM-Integrated Systems is course at Northeastern University that teaches students how to
build software that uses LLMs under the hood from a systems perspective. The course teaches students
how to build interactive software systems that testable, scaleable, and well-designed, despite the
fact that they are working with an essential component -- the LLM -- that can behave in unpredictable ways.
This repository contains the datasets that… See the full description on the dataset page: https://huggingface.co/datasets/nuprl/engineering-llm-systems.pickup-carrot-openpi-20251029This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "bi_widowxai_follower",
"total_episodes": 28,
"total_frames": 13130,
"total_tasks": 1,
"total_videos": 112,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:28"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/argus-systems/pickup-carrot-openpi-20251029.pickup-carrot-no-subversion-2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"trossen_subversion": "v1.0",
"robot_type": "trossen_ai_stationary",
"total_episodes": 21,
"total_frames": 9383,
"total_tasks": 1,
"total_videos": 84,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:21"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/argus-systems/pickup-carrot-no-subversion-2.pickup-carrot-no-subversionThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"trossen_subversion": "v1.0",
"robot_type": "trossen_ai_stationary",
"total_episodes": 21,
"total_frames": 9383,
"total_tasks": 1,
"total_videos": 84,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:21"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/argus-systems/pickup-carrot-no-subversion.merged-test-1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"trossen_subversion": "v1.0",
"robot_type": "trossen_ai_stationary",
"total_episodes": 76,
"total_frames": 33966,
"total_tasks": 2,
"total_videos": 304,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:76"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/argus-systems/merged-test-1.pickup-carrot-remove-parquet-metadataThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"trossen_subversion": "v1.0",
"robot_type": "trossen_ai_stationary",
"total_episodes": 21,
"total_frames": 9383,
"total_tasks": 1,
"total_videos": 84,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:21"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/argus-systems/pickup-carrot-remove-parquet-metadata.pickup-carrot-openpi-100-20251029This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "bi_widowxai_follower",
"total_episodes": 28,
"total_frames": 13130,
"total_tasks": 1,
"total_videos": 112,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:28"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/argus-systems/pickup-carrot-openpi-100-20251029.dynamic_systems_pretrain
Example Code for Using the Dataset
import numpy as np
from torch.utils.data import Dataset
from datasets import load_dataset
class PretrainDataset(Dataset):
def __init__(self, window_size=4096, nvar=11):
self.window_size = window_size
self.nvar = nvar
# init dataset
self.ds = load_dataset("mosaic-laboratory/dynamic_systems_pretrain")
def __len__(self):
return sum([len(self.ds[k]) for k in self.ds.keys()])
def __getitem__(self… See the full description on the dataset page: https://huggingface.co/datasets/mosaic-laboratory/dynamic_systems_pretrain.pickup-carrot-new-environment-5This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "bi_widowxai_follower",
"total_episodes": 3,
"total_frames": 897,
"total_tasks": 1,
"total_videos": 12,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:3"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/argus-systems/pickup-carrot-new-environment-5.linear_systems_vars4_abs20_nnz2trossen_ai_stationary_dummyThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"trossen_subversion": "v1.0",
"robot_type": "trossen_ai_stationary",
"total_episodes": 4,
"total_frames": 920,
"total_tasks": 1,
"total_videos": 16,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:4"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/argus-systems1/trossen_ai_stationary_dummy.linear_systems_vars3_abs20throw_5This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 8,
"total_frames": 3129,
"total_tasks": 1,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:8"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/argus-systems0/throw_5.deepseek-r1-systems-kernel-reasoning
🧠 DeepSeek-R1 Low-Level Systems & Kernel Reasoning Suite (2026)
🛒 Commercial Full Suite Available:
The full production suite with 10,000 SFT Hardware Reasoning Traces + 2,500 High-Contrast DPO Alignment Pairs across all 20 domains is available on Gumroad:
👉 Download Full Commercial Dataset on Gumroad (Starter \ / Pro \ / Enterprise )
A Tier-1 Commercial Dataset Suite engineered specifically for fine-tuning DeepSeek-R1, DeepSeek-R1-Distill-Qwen-14B/32B, and frontier… See the full description on the dataset page: https://huggingface.co/datasets/beatsprom/deepseek-r1-systems-kernel-reasoning.trossen_ai_stationary_dummy_table_setThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"trossen_subversion": "v1.0",
"robot_type": "trossen_ai_stationary",
"total_episodes": 2,
"total_frames": 2115,
"total_tasks": 1,
"total_videos": 8,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:2"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/argus-systems1/trossen_ai_stationary_dummy_table_set.test_video_falseThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"trossen_subversion": "v1.0",
"robot_type": "trossen_ai_stationary",
"total_episodes": 3,
"total_frames": 1338,
"total_tasks": 1,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:3"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/argus-systems/test_video_false.test_video_trueThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"trossen_subversion": "v1.0",
"robot_type": "trossen_ai_stationary",
"total_episodes": 3,
"total_frames": 1341,
"total_tasks": 1,
"total_videos": 12,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:3"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/argus-systems/test_video_true.record-testThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 1,
"total_frames": 511,
"total_tasks": 1,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:1"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/argus-systems0/record-test.system-prompts-multi-agent-systemsafrica-faostat-employment-indicators-agriculture-and-agrifood-systems-oea
Employment Indicators: Agriculture and agrifood systems — Africa (FAOSTAT) | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: parquet - Sector: agriculture_food - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-faostat-employment-indicators-agriculture-and-agrifood-systems-oea.paraphrased_prompt_responseafrica-conflict-related-incidents-affecting-water-systems
Conflict-Related Incidents Affecting Water Systems | Africa (original)
Size category: n<1K - Formats: parquet - Sector: governance_security - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Public datasets help analysts… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-conflict-related-incidents-affecting-water-systems.fan_systems_factsCopyright L. Siddharth, Singapore University of Technology and Design, Singapore.
This dataset includes around 2.93 millions facts extracted from 4,870 patents related to fan systems, as granted by USPTO and classified within certain groups under F01D class.
Each fact is represented in the format {head, relation, tail}, identified from a sentence. The method to identify such fact was developed in the following work.
Siddharth, L., Luo, J., 2024. Retrieval-Augmented Generation using Engineering… See the full description on the dataset page: https://huggingface.co/datasets/siddharthl1293/fan_systems_facts.albanian-medical-exams-systems-mcq-400
Albanian Medical Exams MCQ Dataset
This dataset contains 400 multiple-choice questions from Albanian medical exams, specifically under Fondet e pyetjeve >> Profili Biologji >> Sistemet sections, available here: https://qsha.gov.al/porvimi-i-informatizuar-i-mjekesise/.
Usage
This dataset can be used for training and evaluating question-answering systems in the medical domain for the Albanian language.
License
The questions in this dataset have been extracted… See the full description on the dataset page: https://huggingface.co/datasets/marjpri/albanian-medical-exams-systems-mcq-400.llm-systems-travel-agentlinear_systems_vars3_abs10value-systems-in-llms-paraphrasing-and-profile-elicitation
Value Systems in LLMs: Effects of Paraphrasing and Profile Elicitation on Decision-Making Consistency and Robustness
(Versión en español más abajo.)
Do large language models give stable answers to the same forced-choice question
when the prompt is perturbed in ways that do not change its meaning — and does
assigning them a personality or value profile change those answers?
This dataset contains the full material of that experiment: the 9,350 prompts,
the 561,000 model responses… See the full description on the dataset page: https://huggingface.co/datasets/anicola/value-systems-in-llms-paraphrasing-and-profile-elicitation.linear_systems_vars3_abs50